metadata

size_categories:
  - 1K<n<10K
task_categories:
  - text-to-image
pretty_name: anime
dataset_info:
  features:
    - name: image
      dtype: image
  splits:
    - name: miku
      num_bytes: 558050909
      num_examples: 1000
    - name: MikumoGuynemer
      num_bytes: 101689673
      num_examples: 298
    - name: aiohto
      num_bytes: 77725840
      num_examples: 138
    - name: mima
      num_bytes: 5008975
      num_examples: 5
    - name: esdeath
      num_bytes: 1603306
      num_examples: 13
  download_size: 742545259
  dataset_size: 744078703
configs:
  - config_name: default
    data_files:
      - split: miku
        path: data/miku-*
      - split: MikumoGuynemer
        path: data/MikumoGuynemer-*
      - split: aiohto
        path: data/aiohto-*
      - split: mima
        path: data/mima-*
      - split: esdeath
        path: data/esdeath-*
tags:
  - art

anime characters datasets

This is an anime/manga/2D characters dataset, it is intended to be an encyclopedia for anime characters.

The dataset is open source to use without limitations or any restrictions.

how to use

from datasets import load_dataset
from huggingface_hub.utils import _runtime
_runtime._is_google_colab = False # workaround for problems with colab
dataset = load_dataset("parsee-mizuhashi/miku")

how to contribute

to add your own dataset, simply join the organization and create a new dataset repo and upload your images there. else you can open a new discussion and we'll check it out
to merge your dataset with this repo simply run the following code :

from huggingface_hub import notebook_login
notebook_login() # 👈 add your token with "writing access"
# you can find your token in settings>tokens and grab your token

from datasets import load_dataset
from huggingface_hub.utils import _runtime
_runtime._is_google_colab = False # workaround for problems with colab
repo_id = "lowres/aiohto" # 👈 change this
ds = load_dataset("lowres/anime")
ds2 = load_dataset(repo_id)
character_name = repo_id.split("/")[1]
ds[character_name] = ds["train"]
ds.push_to_hub("lowres/anime")